Surfers Paradise, Australia

Pedro Fernandez Orellana

USPTO Granted Patents = 1 

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Pedro Fernandez Orellana: Innovator in Machine Learning Processing

Introduction

Pedro Fernandez Orellana is a notable inventor based in Surfers Paradise, Australia. He has made significant contributions to the field of machine learning, particularly in optimizing processing techniques. His innovative approach has led to the development of a unique patent that addresses challenges in batch processing for machine learning models.

Latest Patents

Pedro holds a patent titled "Request over-batch processing for machine learning models." This invention involves an apparatus that includes at least one processing device. The device is designed to determine the number of requests to include in a given batch based on an over-batching multiplier. It also allocates memory for processing the batch, ensuring that the memory allocated is less than what is required for the maximum output sequence length of the machine learning model. Furthermore, the device can adjust memory allocation during execution if certain conditions are met. This patent showcases Pedro's innovative thinking and technical expertise in the realm of machine learning.

Career Highlights

Pedro is currently employed at Dell Products Inc., where he continues to work on advancing technology in the field of machine learning. His role at Dell allows him to collaborate with other talented professionals and contribute to cutting-edge projects.

Collaborations

One of his notable coworkers is Qiang Chen, with whom he shares insights and expertise in their respective fields. Their collaboration enhances the innovative environment at Dell, fostering the development of new technologies.

Conclusion

Pedro Fernandez Orellana is a distinguished inventor whose work in machine learning processing is paving the way for future advancements. His patent reflects a deep understanding of the complexities involved in machine learning and showcases his commitment to innovation.

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